99 lines
5.3 KiB
Python
99 lines
5.3 KiB
Python
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# This file is MACHINE GENERATED! Do not edit.
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# Generated by: tensorflow/python/tools/api/generator/create_python_api.py script.
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"""Wrappers for primitive Neural Net (NN) Operations.
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"""
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from __future__ import print_function
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from tensorflow.nn import rnn_cell
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from tensorflow.python import sigmoid
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from tensorflow.python import tanh
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from tensorflow.python.ops.candidate_sampling_ops import all_candidate_sampler
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from tensorflow.python.ops.candidate_sampling_ops import compute_accidental_hits
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from tensorflow.python.ops.candidate_sampling_ops import fixed_unigram_candidate_sampler
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from tensorflow.python.ops.candidate_sampling_ops import learned_unigram_candidate_sampler
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from tensorflow.python.ops.candidate_sampling_ops import log_uniform_candidate_sampler
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from tensorflow.python.ops.candidate_sampling_ops import uniform_candidate_sampler
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from tensorflow.python.ops.ctc_ops import ctc_beam_search_decoder
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from tensorflow.python.ops.ctc_ops import ctc_greedy_decoder
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from tensorflow.python.ops.ctc_ops import ctc_loss
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from tensorflow.python.ops.embedding_ops import embedding_lookup
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from tensorflow.python.ops.embedding_ops import embedding_lookup_sparse
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from tensorflow.python.ops.embedding_ops import safe_embedding_lookup_sparse
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from tensorflow.python.ops.gen_nn_ops import avg_pool3d
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from tensorflow.python.ops.gen_nn_ops import conv2d
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from tensorflow.python.ops.gen_nn_ops import conv2d_backprop_filter
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from tensorflow.python.ops.gen_nn_ops import conv2d_backprop_input
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from tensorflow.python.ops.gen_nn_ops import conv3d
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from tensorflow.python.ops.gen_nn_ops import conv3d_backprop_filter_v2
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from tensorflow.python.ops.gen_nn_ops import depthwise_conv2d_native
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from tensorflow.python.ops.gen_nn_ops import depthwise_conv2d_native_backprop_filter
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from tensorflow.python.ops.gen_nn_ops import depthwise_conv2d_native_backprop_input
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from tensorflow.python.ops.gen_nn_ops import dilation2d
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from tensorflow.python.ops.gen_nn_ops import elu
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from tensorflow.python.ops.gen_nn_ops import fractional_avg_pool
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from tensorflow.python.ops.gen_nn_ops import fractional_max_pool
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from tensorflow.python.ops.gen_nn_ops import l2_loss
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from tensorflow.python.ops.gen_nn_ops import lrn
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from tensorflow.python.ops.gen_nn_ops import lrn as local_response_normalization
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from tensorflow.python.ops.gen_nn_ops import max_pool3d
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from tensorflow.python.ops.gen_nn_ops import max_pool_with_argmax
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from tensorflow.python.ops.gen_nn_ops import quantized_avg_pool
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from tensorflow.python.ops.gen_nn_ops import quantized_conv2d
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from tensorflow.python.ops.gen_nn_ops import quantized_max_pool
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from tensorflow.python.ops.gen_nn_ops import quantized_relu_x
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from tensorflow.python.ops.gen_nn_ops import relu
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from tensorflow.python.ops.gen_nn_ops import selu
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from tensorflow.python.ops.gen_nn_ops import softplus
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from tensorflow.python.ops.gen_nn_ops import softsign
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from tensorflow.python.ops.nn import atrous_conv2d
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from tensorflow.python.ops.nn import atrous_conv2d_transpose
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from tensorflow.python.ops.nn import avg_pool
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from tensorflow.python.ops.nn import batch_norm_with_global_normalization
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from tensorflow.python.ops.nn import batch_normalization
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from tensorflow.python.ops.nn import bias_add
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from tensorflow.python.ops.nn import bidirectional_dynamic_rnn
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from tensorflow.python.ops.nn import conv1d
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from tensorflow.python.ops.nn import conv2d_transpose
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from tensorflow.python.ops.nn import conv3d_transpose
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from tensorflow.python.ops.nn import convolution
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from tensorflow.python.ops.nn import crelu
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from tensorflow.python.ops.nn import depthwise_conv2d
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from tensorflow.python.ops.nn import dropout
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from tensorflow.python.ops.nn import dynamic_rnn
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from tensorflow.python.ops.nn import erosion2d
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from tensorflow.python.ops.nn import fused_batch_norm
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from tensorflow.python.ops.nn import in_top_k
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from tensorflow.python.ops.nn import l2_normalize
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from tensorflow.python.ops.nn import leaky_relu
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from tensorflow.python.ops.nn import log_poisson_loss
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from tensorflow.python.ops.nn import log_softmax
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from tensorflow.python.ops.nn import max_pool
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from tensorflow.python.ops.nn import moments
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from tensorflow.python.ops.nn import nce_loss
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from tensorflow.python.ops.nn import normalize_moments
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from tensorflow.python.ops.nn import pool
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from tensorflow.python.ops.nn import raw_rnn
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from tensorflow.python.ops.nn import relu6
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from tensorflow.python.ops.nn import relu_layer
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from tensorflow.python.ops.nn import sampled_softmax_loss
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from tensorflow.python.ops.nn import separable_conv2d
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from tensorflow.python.ops.nn import sigmoid_cross_entropy_with_logits
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from tensorflow.python.ops.nn import softmax
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from tensorflow.python.ops.nn import softmax_cross_entropy_with_logits
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from tensorflow.python.ops.nn import softmax_cross_entropy_with_logits_v2
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from tensorflow.python.ops.nn import sparse_softmax_cross_entropy_with_logits
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from tensorflow.python.ops.nn import static_rnn
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from tensorflow.python.ops.nn import static_state_saving_rnn
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from tensorflow.python.ops.nn import sufficient_statistics
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from tensorflow.python.ops.nn import swish
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from tensorflow.python.ops.nn import top_k
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from tensorflow.python.ops.nn import weighted_cross_entropy_with_logits
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from tensorflow.python.ops.nn import weighted_moments
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from tensorflow.python.ops.nn import with_space_to_batch
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from tensorflow.python.ops.nn import xw_plus_b
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from tensorflow.python.ops.nn import zero_fraction
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from tensorflow.python.ops.rnn import static_bidirectional_rnn
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del print_function
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